Retrospective clinical patient studies (CT and MR scans)
Retrospective clinical patient studies were used to evaluate intra-observer consistency of segmentation/measurement tools and to assess the accuracy of the software's image registration tools in a clinical context.
Retrospective clinical patient studies for segmentation consistency; Retrospective analysis
Patients undergoing CT and MR imaging of thoracic, abdominal, and pelvic regions
Not applicable for this study
Intra-observer consistency of volume measurements
Retrospective clinical patient studies for registration accuracy; Retrospective analysis
Patients undergoing CT and MR imaging
Not applicable for this study
Mean interactive registration error
Indications for Use
IQQA-BodyImaging is a PC-based, self-contained, non-invasive image analysis software application for reviewing body imaging studies (including thoracic, abdominal and pelvic) derived from CT and MR scanners. Combining image viewing, processing and reporting tools, the software is designed to support the visualization, evaluation, and reporting of body imaging studies and physician-identified lesions. The software supports a workflow based on automated image registration for viewing and analyzing multiphase and multiple time-point volume datasets. It includes tools for interactive segmentation and labeling of organ segments and vascular/ductal/airway structures. The software provides functionalities for manual or interactive segmentation of physician-identified lesions, interactive definition of virtual resection plane and virtual needle path, and allows for regional volumetric analysis of such lesions in terms of size, position, margin, and enhancement pattern, providing information for physician's evaluation and treatment planning, monitoring, and follow-up. The software is designed for use by trained professionals, including physicians and technicians. Image source: DICOM.
Device Story
IQQA-BodyImaging is a PC-based software application for analyzing thoracic, abdominal, and pelvic CT/MR DICOM images. It provides tools for 2D/3D viewing (MPR, MIP, MinIP, volume rendering), automated image registration for multiphase/time-point datasets, and interactive segmentation of lesions, organs, and vascular/ductal/airway structures. Physicians use the software to define virtual resection planes and needle paths, and perform volumetric analysis (size, position, margin, enhancement). Output includes quantitative measurements and reports for clinical decision-making, treatment planning, and follow-up. Used in clinical settings by physicians and technicians; physicians retain final diagnostic authority.
Clinical Evidence
Bench testing and retrospective clinical studies. Segmentation accuracy validated on simulated shapes (volume difference <1.5%). Intra-observer consistency tested on retrospective CT/MR patient studies (mean volume differences 0.4%–2.5%). Registration accuracy validated on phantoms (mean error 0.2394mm) and retrospective patient studies (mean error 0.5388mm). Software validation conducted at two clinical sites by physicians to confirm functionality and intended use.
Technological Characteristics
PC-based software application; DICOM input; supports CT and MR modalities. Features automated image registration, interactive segmentation, and volumetric analysis tools. Standalone deployment on standard PC hardware. No patient-contacting materials.
Indications for Use
Indicated for trained professionals, including physicians and technicians, to review, visualize, evaluate, and report on thoracic, abdominal, and pelvic CT and MR imaging studies. Supports treatment planning, monitoring, and follow-up of physician-identified lesions.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
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Image /page/0/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a stylized caduceus symbol, which is a staff with two snakes coiled around it, and the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged in a circular pattern around the symbol. The caduceus is rendered in black, and the text is also in black.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
October 31, 2014
EDDA Technology % Mr. Daniel Kamm Regulatory Engineer 5 Independence Way PRINCETON NJ 08540
Re: K141745
Trade/Device Name: IOOA-BodyImaging Software Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: September 22, 2014 Received: September 29, 2014
Dear Mr. Kamm:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food. Drug. and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21. Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education at its toll-free number (800) 638 2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours.
Sm. 7
for
Janine M. Morris Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
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#### DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration
## Indications for Use
510(k) Number (if known)
#### K141745
Device Name IQQA-BodyImaging Software
### Indications for Use (Describe)
IQQA-BodyImaging is a PC-based, self-contained, non-invasive image analysis software application for reviewing body imaging studies (including thoracic, abdominal and pelvic) derived from CT and MR scanners. Combining image viewing, processing and reporting tools, the software is designed to support the visuation, and reporting of body imaging studies and physicianidentified lesions.
The software supports a workflow based on automated image registration for viewing and multiphase and multiple timepoint volume datasets. It includes tools for interactive segments and vascular/ductal/artual structures. The software provides for manual or interactive segmentation of physician-identified lesions, interactive definition of virtual resection plane and virtual needle path, and allows for regional volumetric analysis of such lesions in terms of size, position, margin, and enhancement pattern, providing information for physician's evaluation and treatment planning, monitoring, and follow-up.
The software is designed for use by trained professionals, including physicians and technicians. Image source: DICOM.
Type of Use (Select one or both, as applicable)
× Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
# PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON A SEPARATE PAGE IF NEEDED.
## FOR FDA USE ONLY
Concurrence of Center for Devices and Radiological Health (CDRH) (Signature)
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# EDDA Technology 510(k) Summary K141745 5 Independence Way Princeton, NJ 08540 Tel: 609-919-9889 Fax: 609-919-9779 Contact: Xiaolan Zeng, Executive Vice President Date prepared: September 22nd, 2014
- 1. Identification of the Device: Proprietary - Trade Name: IQQA-BodyImaging Software
Classification Name: System, Image Processing, Radiological, Product Code LLZ Common/Usual Name: Radiological Image Processing System
- 2. Substantially equivalent legally marketed devices:
| Manufacturer | Name of the Predicate Device | FDA 510(k) Number | FDA Clearance Date |
|-------------------------|------------------------------|-------------------|--------------------|
| GE Medical Systems | Volume Viewer Plus | K041521 | 06/22/2004 |
| Mevis Medical Solutions | Visia Oncology | K120484 | 03/27/2012 |
| EDDA Technology | IQQA-Liver Multimodality | K131498 | 07/25/2013 |
| Intio | ClearStart SVM | K113541 | 12/16/2011 |
- 3. Indications for Use (intended use):
IQQA-BodyImaging is a PC-based, self-contained, non-invasive image analysis software application for reviewing body imaging studies (including thoracic, abdominal and pelvic) derived from CT and MR scanners. Combining image viewing, processing and reporting tools, the software is designed to support the visualization, evaluation, and reporting of body imaging studies and physician-identified lesions. The software supports a workflow based on automated image registration for viewing and analyzing multiphase and multiple time-point volume datasets. It includes tools for interactive segmentation and labeling of organ segments and vascular/ductal/airway structures. The software provides functionalities for manual or interactive segmentation of physician-identified lesions, interactive definition of virtual resection plane and virtual needle path, and allows for regional volumetric analysis of such lesions in terms of size, position, margin, and enhancement pattern, providing information for physician's evaluation and treatment planning, monitoring, and follow-up. The software is designed for use by trained professionals, including physicians and technicians. Image source: DICOM.
- 4. Description of the device:
The IQQA-BodyImaging Software is a self-contained, non-invasive radiographic image analysis application that is designed to run on standard PC hardware. The image input is DICOM. The data utilized is derived from CT and MR scanners, and includes thoracic/abdominal/pelvic images.
Combining image processing, viewing and reporting tools, the software supports the visualization, evaluation and reporting of body imaging scans and physician identified lesions. Viewing tools include 2D original DICOM image viewing, window level adjustment, pre
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defined optimized window level setting, synchronized viewing of multi-phase datasets or volumes from multiple time-points, MPR (orthogonal, oblique and curved), MIP and MinIP, volume rendering. Analysis and evaluation tools include automatic/interactive segmentation of structures utilizing user input of seeding points and bounded boxes, interactive labeling of segmented areas, user tracing and interactive editing, quantitative measurement derived from segmentation and labeling results, and the measurement of distance between physician specified structures and landmarks. Reporting tools in the software automatically assemble information including physician identified lesion locations, measurement information, physician-input lesion characterization, lesion snapshot images across multi-phases or multiple time-points, information of organ segments and vessels/ducts/airways, and illustrative snapshots of the GUI taken by physicians, for physician's confirmation and further diagnosis and patient management note input.
The IQQA-BodyImaging software supports a workflow based on automated registration for viewing and analyzing multiphase or multiple time-point volume datasets. The software automatically matches the spatial location of original DICOM images across contrasted multiphases or multiple time-points, and with physicians' interactive adjustment, to enable synchronized viewing of datasets simultaneously. Physician may also activate the temporal movie display of selected slice locations across multi-phases to aid visualization and evaluation.
After identifying and marking lesions on 2D image display, physicians can either manually trace lesion boundary or activate automated tools to segment lesion. The software further includes tools for interactive segmentation and interactive labeling of organ segments and vascular/ductal/airway structures (such as liver lobes, major branches of vessels/ducts/airways), thus facilitating the visualization of spatial relationship between suspicious lesions and specified anatomical structures/landmarks.
The software provides functionalities for interactive adjustment of user-defined margin size around the lesion, interactive definition of virtual resection plane, interactive definition of virtual needle path to lesion and local zone, regional analysis of lesions with respect to suze, shape, position, margin, and enhancement pattern etc, synchronized view of lesion and information between planning/baseline study and monitoring/follow-up studies, thus providing information to support physician's to evaluation of physician-identified lesions as well as treatment planning, monitoring and follow-up assessment.
The software is designed for use by trained professionals only (physicians, radiologists, surgeons, hospital technicians etc). Physicians make all final diagnosis and patient management decisions.
- 5. Comparison with predicate devices IFU and Technological characteristics (Next page)
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| Device of 510(k) submission: | Predicate Device: Volume Viewer Plus | Predicate Device: Visia Oncology | Predicate Device: IQQA-Liver Multimodality Software | Predicate Device: ClearStart SVM | |
|------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | IQQA-BodyImaging Software (version 1.0) K141745 | K041521 | K120484 | K131498 | K113541 |
| Manufacturer | EDDA Technology | GE Medical System | Mevis Medical Solutions | EDDA Technology | Intio |
| Indications for Use | IQQA-BodyImaging is a PC-based, self-contained, non-invasive image analysis software application for reviewing body imaging studies (including thoracic, abdominal and pelvic) derived from CT and MR scanners. Combining image viewing, processing and reporting tools, the software is designed to support the visualization, evaluation, and reporting of body imaging studies and physician-identified lesions. The software supports a workflow based on automated image registration for viewing and analyzing multiphase and multiple time-point volume datasets. It includes tools for interactive segmentation and labeling of organ segments and vascular/ductal/airway structures. The software provides functionalities for manual or interactive segmentation of physician-identified lesions, interactive definition of virtual resection plane and virtual needle path, and allows for regional volumetric analysis of such | Volume Viewer Plus is medical diagnostic software that allows the processing, review, analysis and communication of 3D reconstructed images and their relationship to originally acquired images from CT, MR, X-Ray Angio and PET scanning devices. The combination of acquired images, reconstructed images, annotations and measurements performed by the clinician are intended to provide to the referring physician clinically relevant information for diagnosis, surgery and treatment planning. | Visia Oncology is a medical software application intended for the visualization of images from a variety of image devices. The system provides viewing, quantification, manipulation, communication, and printing of medical images. Visia Oncology is a noninvasive image analysis software package designed to support the physician in routine diagnostic oncology, staging and follow-up. Flexible layouts and automated image registration facilitate the synchronous display and navigation of multiple datasets for viewing data and easy follow-up comparison. The application provides a range of interactive tools specifically | IQQA-Liver Multimodality is a PC-based, self-contained, non-invasive image analysis software application for reviewing multiphase images derived from various sources (e.g. CT scanners, MR scanners). Combining image viewing, processing and reporting tools, the software is designed to support the visualization, evaluation and reporting of liver and physician-identified lesions. The software supports a workflow based on automated image registration for viewing and analyzing multiphase volume datasets. It includes tools for interactive segmentation and labeling of liver segments and vascular structures. The software provides functionalities for manual or interactive segmentation of physician-identified lesions, interactive definition of virtual resection plane, and allows for regional volumetric analysis of such lesions in | The INTIO ClearStartSVMTAI system is a self-contained image analysis desktop workstation addressing the needs of physicians performing diagnostic oncologic imaging, treatment planning, and post-procedure or systemic therapy follow-up assessment. ClearStartSVMNI provides semi-automated tools for segmentation of suspicious lesions including primary and metastatic lung and liver tumors, and lymph node assessment using non-contrast and contrast CT images. Following lesion segmentation, ClearStart.SVMTM'Sa utomated1 volumetric, RECIST and WHO lesion measurements provide the user with data on the time-course of patient response to therapy. An on-board large disk storage capacity allows the user to easily track each patient's CT data from initial diagnosis through therapeutic interventions and follow up exams and includes a reporting package to aid in the assessment of response to therapy. The system is password protected so that only the above mentioned trained medical |
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| | Device of 510(k) submission:<br>IQQA-<br>BodyImaging<br>Software (version<br>1.0) K141745 | Predicate Device:<br>Volume<br>Viewer Plus<br>K041521 | Predicate Device:<br>Visia<br>Oncology<br>K120484 | Predicate Device:<br>IQQA-Liver<br>Multimodality<br>Software<br>K131498 | Predicate Device:<br>ClearStart SVM<br>K113541 |
|--------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------|
| | lesions in terms of<br>size, position, margin,<br>and enhancement<br>pattern, providing<br>information for<br>physician's evaluation<br>and treatment<br>planning, monitoring,<br>and follow-up.<br><br>The software is<br>designed for use by<br>trained professionals,<br>including physicians<br>and technicians.<br>Image source:<br>DICOM. | | designed for<br>segmentation<br>and volumetric<br>analysis of<br>findings. The<br>integrated<br>reporting helps<br>the user to track<br>findings and<br>note changes,<br>such as shape<br>or size, over<br>time. | terms of size,<br>position, margin<br>and enhancement<br>pattern, providing<br>information for<br>physician's<br>evaluation and<br>treatment planning.<br><br>The software is<br>designed for use by<br>trained<br>professionals,<br>including<br>physicians and<br>technicians. Image<br>source: DICOM. | professionals are<br>authorized users. |
| Image<br>Modality<br>Input | CT, MR | CT, MR, PET,<br>PET/CT | From various<br>sources such as<br>CT | CT, MR | CT |
| Imaging<br>Coverage | Thoracic, Abdominal,<br>Pelvic | Thoracic,<br>Abdominal,<br>Pelvic,Neuro.<br>& more | Oncology<br>coverage in<br>general | Abdominal | Thoracic, Abdominal |
| Segmentation<br>& volumetric<br>analysis of<br>structures of<br>interest | Yes | Yes | Yes | Yes | Yes |
| Tracking<br>through<br>multiple<br>images | automated image<br>registration | Not specified | automated<br>image<br>registration | automated image<br>registration | allows user to track<br>each patient's CT data<br>from initial diagnosis<br>through therapeutic<br>interventions and<br>follow up exams |
| Used by | for use by trained<br>professionals,<br>including physicians<br>and technicians | clinician,<br>referring<br>physicians | physician | for use by trained<br>professionals,<br>including<br>physicians and<br>technicians | trained medical<br>professionals |
| Hardware<br>Configuration | standard PC hardware | standard PC<br>hardware | standard PC<br>hardware | standard PC<br>hardware | standard PC hardware |
| User Interface | A graphical user<br>interface for users to<br>interact with the<br>software, select tools<br>and drive workflow | A graphical<br>user interface<br>for users to<br>interact with<br>the software,<br>select tools and<br>drive workflow | A graphical<br>user interface<br>for users to<br>interact with<br>the software,<br>select tools and<br>drive workflow | A graphical user<br>interface for users<br>to interact with the<br>software, select<br>tools and drive<br>workflow | A graphical user<br>interface for users to<br>interact with the<br>software, select tools<br>and drive workflow |
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IQQA-BodyImaging software has the similar intended use and technological/functional features as the predicate devices in providing tools and workflow designs to support physician users to visualize and evaluate DICOM images of selected patient studies: supporting physicians to evaluate, quantify, and document physician-identified structures of interest; being used by physicians to support own patient management decision making.
The IQQA-BodyImaging device has no patient contacting materials and is utilized only by trained professionals. The trained professionals, providing ample opportunity for competent human intervention interpret images and information being displayed. They are competent to determine whether the images provide information that can be useful in the decision of a diagnosis and patient management. Physicians make all final diagnostic and patient management decision.
IQQA-BodyImaging and predicate devices are substantially equivalent in the areas of technical characteristics, principles of operation, and functional features. The new device does not raise any new potential safety risks and is equivalent in performance to the existing legally marketed devices.
- 6. Safety and Effectiveness:
The IOOA-BodyImaging labeling contains instructions for use and necessary cautions, warnings and notes to provide for safe and effective use of the device. Risk Management is ensured via the company's design control and risk management procedures. Potential hazards are controlled via software development and verification and validation testing.
- 7. Testing Information and Performance:
All product specifications were verified and validated. Testing was performed according to internal company procedures. Software testing and validation were done according to written test protocols established before testing was conducted. Test results were reviewed by designated technical professionals before software proceeded to release. Test results support the conclusion that actual device performance satisfies the design intent.
On the segmentation and measurement tools, experimental results on simulated images containing structures of interest (including ellipsoid, crescent, and cylinder shapes) to study measurement accuracy showed less than 1.5% in volume measurement difference as compared with the ground truth. In addition, to study intra-observer consistency when using the IQOA-BodyImaging interactive segmentation and measurement tools, retrospective clinical patient studies of CT and MR modalities for the thoracic, abdominal and pelvic body parts were used -the mean volume measurement differences by two physicians were 0.4%, 1.5% and 2.5%, respectively.
On the registration tools, experiments involving phantom image pairs scanned at different times with different positioning and orientations, and retrospectively collected patient studies scanned at different times during clinical practice were conducted. The results showed a mean interactive registration error of 0.2394mm with a standard deviation of 0.2261mm on phantom studies scanned at different times with different positioning and orientations, a mean initial automated
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registration error of 0.5594mm with a standard deviation of 0.5448mm on patient studies with synthetic deformations, and a mean interactive registration error of 0.5388mm with a standard deviation of 0.7150mm on retrospective patient studies that are scanned at different times during clinical practice.
Additionally, to supplement the software validation for IQQA-BodyImaging, the company has conducted software testing at two clinical sites. The purpose of the testing is to have physicians use the IQOA-BodyImaging software application to review CT and MR body imaging scans. validate major functionalities provided by the system, and provide feedback along the line of the intended use of the system.
#### Conclusion 8.
The IQQA-BodyImaging software package has the same intended use as the predicate devices. Test results demonstrate that the device is safe, effective, and does not raise any new potential safety risks. In all material respects, the IQQA-BodyImaging software tool is substantially equivalent to the predicate devices.
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.